I did not have time to follow this discussion, but would like to add my
own experience with the book ("Neural Networks and Fuzzy Systems"):
- it helped me better understand how neural networks internally work,
- it helped me understand what are the fuzzy sets and how they can
help me in my research (signal processing, systems theory)
I am not interested in control theory, so I cannot comment on that part
of a book.
Overall, I'm happy to have that book on my shelf. To fully appreciate its
worth, one needs to have a bit more knowledge of math (basic topology,
functional analysis), although it is not necessary.
For full coverage of fuzzy sets and systems I also recommend a very good
book of Dubois and Prade: "Fuzzy Sets and Systems: Theory and Applications".
This book contains an excellent review of a variety of "fuzzy" material.
Some chapters require knowledge of advanced math.
At last, but not least ;-), a book of Klir and Foger is very good for those
interested in modeling uncertainty: "Fuzzy Sets, Uncertainty, and Information"
The above three books together may provide very good source of information
for those of you who are interested in staring research related to
fuzzy sets, fuzzy logic or fuzzy systems. (I guess there are also books on
fuzzy control, but I did not pursue that line of research...)
Regards,
Bogdan R. Kosanovic
-- Laboratory for Computational Neuroscience e-mail: bogdan@neuronet.pitt.edu University of Pittsburgh phone: (412) 624-6773 http://www.neuronet.pitt.edu/~bogdan/
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